{"title":"使用LiveGraph的中间件方法","authors":"M. Sain, Hoonjae Lee, W. Chung","doi":"10.1109/MSPCT.2009.5164209","DOIUrl":null,"url":null,"abstract":"we build MUHIS (Middleware for Ubiquitous Healthcare Information System) architecture with LiveGraph, J2EE and Oracle to process different ubiquitous healthcare application's data and process that data into useful information, which can play a important role in decision making in ubiquitous Healthcare System. Application developers mostly rely on third party middleware, tools and libraries (i.e., web servers, distributed middleware such as CORBA, XML etc.) to respond the emerging trends of their target domain. With this middleware we tried to enhance the efficiency of application by decrease their memory uses, data processing and decision making on another web module which is independent of each application. In our middleware system, we also proposed an application by which we can find some important conclusion about different health status likewise ECG, Accelerometer. etc., which can be used in various data processing and determine the current health status. In this paper we also analyze some different low level and high level middleware technology which were used to build different kind middleware likewise CAMUS, MiLAN and try to find the best solution in the form of middleware for Ubiquitous Healthcare Information System. T build our Middleware we also analyze different application such as Matlab, Oscilloscope, and JFreeChart and try to extract most common feature, and then try to build a advance LiveGraph which consist most of the common feature of above and also have some advance feature which is most feasible to analyze the data and to take some decision itself.","PeriodicalId":179541,"journal":{"name":"2009 International Multimedia, Signal Processing and Communication Technologies","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MUHIS : A Middleware approach Using LiveGraph\",\"authors\":\"M. Sain, Hoonjae Lee, W. 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In our middleware system, we also proposed an application by which we can find some important conclusion about different health status likewise ECG, Accelerometer. etc., which can be used in various data processing and determine the current health status. In this paper we also analyze some different low level and high level middleware technology which were used to build different kind middleware likewise CAMUS, MiLAN and try to find the best solution in the form of middleware for Ubiquitous Healthcare Information System. 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引用次数: 3
摘要
利用LiveGraph、J2EE和Oracle构建了MUHIS (Middleware for Ubiquitous Healthcare Information System)体系结构,用于处理不同的泛在医疗应用程序的数据,并将这些数据转化为有用的信息,从而在泛在医疗系统的决策中发挥重要作用。应用程序开发人员主要依靠第三方中间件、工具和库(即web服务器、分布式中间件,如CORBA、XML等)来响应目标领域的新兴趋势。通过这个中间件,我们试图通过减少应用程序的内存使用、数据处理和决策在另一个独立于每个应用程序的web模块上进行来提高应用程序的效率。在我们的中间件系统中,我们还提出了一个应用程序,通过该应用程序可以找到不同健康状态的一些重要结论,例如心电,加速度计。等,可用于各种数据处理和确定当前健康状态。本文还分析了采用不同的底层和高层中间件技术来构建不同类型的中间件,如CAMUS、MiLAN等,试图找到泛在医疗信息系统中间件形式的最佳解决方案。为了构建我们的中间件,我们还分析了不同的应用程序,如Matlab, Oscilloscope和JFreeChart,并尝试提取最常见的特征,然后尝试构建一个先进的LiveGraph,它包含了上述大多数常见特征,并具有一些最可行的高级特征,以分析数据并自行做出一些决策。
we build MUHIS (Middleware for Ubiquitous Healthcare Information System) architecture with LiveGraph, J2EE and Oracle to process different ubiquitous healthcare application's data and process that data into useful information, which can play a important role in decision making in ubiquitous Healthcare System. Application developers mostly rely on third party middleware, tools and libraries (i.e., web servers, distributed middleware such as CORBA, XML etc.) to respond the emerging trends of their target domain. With this middleware we tried to enhance the efficiency of application by decrease their memory uses, data processing and decision making on another web module which is independent of each application. In our middleware system, we also proposed an application by which we can find some important conclusion about different health status likewise ECG, Accelerometer. etc., which can be used in various data processing and determine the current health status. In this paper we also analyze some different low level and high level middleware technology which were used to build different kind middleware likewise CAMUS, MiLAN and try to find the best solution in the form of middleware for Ubiquitous Healthcare Information System. T build our Middleware we also analyze different application such as Matlab, Oscilloscope, and JFreeChart and try to extract most common feature, and then try to build a advance LiveGraph which consist most of the common feature of above and also have some advance feature which is most feasible to analyze the data and to take some decision itself.